{"id":"W2800694860","doi":"10.1148/radiol.2018172613","title":"Use of Myocardial T1 Mapping at 3.0 T to Differentiate Anderson-Fabry Disease from Hypertrophic Cardiomyopathy","year":2018,"lang":"en","type":"article","venue":"Radiology","topic":"Cardiomyopathy and Myosin Studies","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; Toronto General Hospital; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; RSNA Research and Education Foundation","keywords":"Medicine; Hypertrophic cardiomyopathy; Receiver operating characteristic; Cardiology; Confidence interval; Internal medicine; Fabry disease; Odds ratio; Logistic regression; Magnetic resonance imaging; Cardiomyopathy; Cutoff; Nuclear medicine; Radiology; Heart failure; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005933905,0.0002620079,0.0002360786,0.0004370773,0.0001573236,0.0003467164,0.0001739245,0.0003190554,0.000393709],"category_scores_gemma":[0.001229367,0.00007185869,0.0001040099,0.0001633438,0.000252332,0.0002780935,0.0001461035,0.0001297272,0.0001417153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001369591,"about_ca_system_score_gemma":0.0001289419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004653588,"about_ca_topic_score_gemma":0.0008439839,"domain_scores_codex":[0.9998662,0.00003877687,0.00001788225,0.00004155884,0.00001647384,0.00001908438],"domain_scores_gemma":[0.9994891,0.0001673216,0.0001704417,0.00003048827,0.00004236956,0.0001003378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001082081,0.00004151952,0.9768687,0.00002195533,0.0000257054,0.0004636392,0.00009729923,0.0002051235,0.01029014,0.00003168565,0.00008007227,0.01079193],"study_design_scores_gemma":[0.00004271378,0.0007455646,0.9927164,0.00001138951,0.00003339955,0.002643135,0.0001406898,0.001341395,0.001996068,0.00008131838,0.0002382197,0.000009768349],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990761,0.0002885419,0.0002849755,0.00001875819,0.000002951679,0.000005641961,0.00002973914,0.000004444275,0.0002887816],"genre_scores_gemma":[0.9994242,0.00005911168,0.0004006474,0.00001739722,0.000007322825,0.000004727593,0.00004169093,0.000001415768,0.00004350341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005933905,"threshold_uncertainty_score":0.003138185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04810326720243129,"score_gpt":0.2583937416185651,"score_spread":0.2102904744161338,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}